Improving video processing performance using temporal reasoning

Mohamed Ahmed; Ahmed Karmouch

doi:10.1117/12.365877

18 October 1999 Improving video processing performance using temporal reasoning

Mohamed Ahmed, Ahmed Karmouch

Proceedings Volume 3808, Applications of Digital Image Processing XXII; (1999) https://doi.org/10.1117/12.365877
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

In this paper, we present a system, called MediABS, for extracting key frames in a video segment. First we will describe the overall architecture of the system and we will show how our system can handle multiple video formats with a single video-processing module. Then we will present a new algorithm, based on color histograms. The algorithm exploits the temporal characteristic of the visual information and provides techniques for avoiding false cuts and eliminating the possibility of missing true cuts. A discussion, along with some results, will be provided to show the merits of our algorithm compared to existing related algorithms. Finally we will discuss the performance (in terms of processing time and accuracy) obtained by our system in extracting the key frames from a video segment. This work is part of the Mobile Agents Alliance project involving University of Ottawa, National Research Council (NRC) and Mitel Corporation.

Citation Download Citation

Mohamed Ahmed and Ahmed Karmouch "Improving video processing performance using temporal reasoning", Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); https://doi.org/10.1117/12.365877

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